cocorresp
Co-Correspondence Analysis Methods
Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communities.
- Version0.4-5
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- cocorresp citation info
- Last release10/06/2024
Documentation
Team
Gavin L. Simpson
MaintainerShow author detailsRon Wehrens
Show author detailsRolesAuthorCajo J.F. ter Braak
Show author detailsRolesAuthorAndre P Schaffers
Show author detailsRolesAuthorBjorn-Helge Mevik
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 952 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 37 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 8,414 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Feb 20, 2025 with 95 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Suggests4 packages